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Show HN: AI·rete·RAG – A Rete Rule Engine Decides, RAG Explains Why

The project AI·rete·RAG combines a Rete rule engine for decision-making with a Retrieval-Augmented Generation (RAG) system to provide explanations. It ensures consistent decisions through a rule-based system and generates plain-English explanations using policy documents. The system supports auditability and rule-based reasoning with visual editing and YAML configuration.

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Tracking sinceSeptember 22, 20265 source points
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PublishedSeptember 22, 2026ZaharaHussain
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WHY IT MAY MATTER

This tool is useful for ensuring transparent and auditable decision-making processes in domains like lending, fraud detection, and clinical triage, where explanations are required for regulatory compliance.

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